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Remote Google Biomedical Engineering Jobs in Frederick, MD

VIS IT Solutions Inc

Angular Developer

Dulles, VA · Remote

$56 - $68.50/hr

Remote - Design and build scalable, maintainable frontend systems using Angular (v16+). - Develop ... Google Cloud innovations. Qualifications Required: - Minimum 7 years of experience in frontend or ...

Danaher

Field Service Engineer - Virginia

Dulles, VA · On-site +1

$34 - $37/hr

... remote. At Leica Biosystems, our vision is to advance cancer diagnostics and improve lives. You ... Field Service Engineering for electrical/mechanical/biomedical equipment or scientific instruments.

Xenith Solutions

GenAI Developer

Leesburg, VA · Remote

$115K - $165K/yr

... prompt engineering techniques. * Exposure to or basic practical experience with relevant GenAI ... Google Vertex AI and AWS Bedrock * Experience working in a geographically dispersed, remote team.

Xenith Solutions LLC

GenAI Developer

Leesburg, VA · On-site +1

$115K - $165K/yr

... prompt engineering techniques. * Exposure to or basic practical experience with relevant GenAI ... Google Vertex AI and AWS Bedrock * Experience working in a geographically dispersed, remote team.

Eliassen Group

Email Cyber Security Engineer

Rockville, MD · Remote

$70 - $80/hr

Hybrid 3 days onsite / 2 days remote in either Rockville, MD or Tysons Corner, VA Our client seeks ... Administer enterprise email platforms (Google Workspace Gmail, Secure Email Gateway) to protect ...

Xometry

Quality Assurance Engineer

Gaithersburg, MD · Remote

$84K - $109K/yr

This person will work closely with Case Management, Partner Support, and remote Quality Engineering ... Familiar with Google Workspace, Looker, Salesforce * Knowledge of Process Certification/Process ...

Huntington

Application Architect (IT)

Hagerstown, MD · On-site +1

$70K - $140K/yr

Mentor developers and technical team members. * Lead cross-functional discussions to resolve ... Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. * Experience ...

Huntington

Application Architect (IT)

Hagerstown, MD · On-site +1

Mentor developers and technical team members. * Lead cross-functional discussions to resolve ... Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. * Experience ...

Huntington

Enterprise Architect (IT)

Hagerstown, MD · On-site +1

$68.50 - $88.25/hr

Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. * Strong ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Enterprise Architect (IT)

Hagerstown, MD · On-site +1

$102K - $208K/yr

Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. * Strong ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

All JobsGoogle Biomedical Engineering JobsRemote Google Biomedical Engineering JobsRemote Google Biomedical Engineering Jobs in Frederick, MD

Remote Google Biomedical Engineering information

See Frederick, MD salary details

$40.8K

$94.3K

$139.2K

How much do remote google biomedical engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote google biomedical engineering in Frederick, MD is $94,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,100.00 and $115,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote Google biomedical engineer?

To thrive as a Remote Google Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with programming languages (such as Python or MATLAB), cloud computing platforms (like Google Cloud), and experience with medical device standards or software are often required. Excellent communication, self-motivation, and collaboration skills help you effectively coordinate with remote teams and stakeholders. These skills ensure successful development of innovative healthcare solutions while maintaining high standards and seamless teamwork in a remote environment.

What is the difference between Remote Google Biomedical Engineering vs Remote Medical Device Software Engineer?

AspectRemote Google Biomedical EngineeringRemote Medical Device Software Engineer
Required CredentialsBiomedical engineering degree, certifications in medical device regulationsSoftware engineering degree, certifications in medical device software standards
Work EnvironmentTech companies, healthcare institutions, research labsMedical device companies, healthcare tech firms, regulatory agencies
Industry UsageDevelops medical technologies, diagnostics, imaging systemsDesigns and tests software for medical devices, ensuring compliance

Remote Google Biomedical Engineering focuses on developing medical technologies and diagnostics within tech and healthcare environments, requiring biomedical credentials. In contrast, Remote Medical Device Software Engineers specialize in creating and validating software for medical devices, emphasizing software skills and regulatory standards. Both roles are essential in advancing healthcare technology remotely, but they differ in focus and expertise.

What are some common challenges faced by remote biomedical engineers working on Google projects, and how can they overcome them?

Remote biomedical engineers at Google often collaborate with interdisciplinary teams across different time zones, which can make communication and project alignment challenging. To overcome these hurdles, it’s important to establish clear channels for regular updates, leverage collaborative tools like Google Workspace, and proactively schedule meetings to accommodate diverse schedules. Staying organized and maintaining transparent documentation helps ensure that everyone stays on the same page, enhancing productivity and reducing miscommunication.

What is a remote Google biomedical engineer?

A Remote Google Biomedical Engineering job involves working for Google in the field of biomedical engineering from a remote location, rather than being physically present at an office. Professionals in this role typically focus on developing innovative healthcare technologies, analyzing biological data, and collaborating with cross-functional teams to solve medical challenges using engineering principles. As the position is remote, employees use digital tools to communicate, manage projects, and contribute to research or product development from anywhere with internet access. These roles may require a strong background in biomedical engineering, computer science, and experience with medical devices or data analysis.
What are popular job titles related to Remote Google Biomedical Engineering jobs in Frederick, MD? For Remote Google Biomedical Engineering jobs in Frederick, MD, the most frequently searched job titles are:
What job categories do people searching Remote Google Biomedical Engineering jobs in Frederick, MD look for? The top searched job categories for Remote Google Biomedical Engineering jobs in Frederick, MD are:
Remote Google Biomedical Engineering jobs near you

Principal Data Scientist

BULLFROG AI MANAGEMENT LLC

Gaithersburg, MD • On-site, Remote

$175K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 hours ago

Job description

Description

About BullFrog AI

BullFrog AI (NASDAQ: BFRG) is a computational biology company spun out of the Johns Hopkins Applied Physics Laboratory. We sit at the intersection of AI and drug discovery, building platforms that help pharmaceutical and biotech companies make better, faster decisions across the drug development lifecycle:

  • bfPREP - biology-aware data harmonization that unlocks the value trapped in fragmented, multi-site clinical and omics datasets
  • bfLEAP - causal AI analytics for patient subgroup discovery, biomarker identification, and drug target prioritization
  • bfARENAS - structured multi-criteria decision support for high-stakes portfolio, indication, and go/no-go decisions


The Role

Help turn complex biomedical and clinical data into defensible decisions for drug discovery and development.


BullFrog AI is seeking an exceptional Principal Data Scientist with a strong background in biomedical analytics. This is a senior individual contributor role that combines client-facing project leadership with direct contributions to BullFrog's in-house platform - spanning target discovery, patient subtyping, and multimodal data analysis.


Day-to-day work is client-dependent, with each engagement bringing a different analytical challenge. You will be expected to lead from execution and bring scientific rigor, technical depth, and clear communication to every project.



What You'll Do


Client Engagement & Project Leadership

  • Own end-to-end analytical workstreams across target discovery, patient subtyping, and multimodal data exploration
  • Translate complex data science findings into clear, actionable insights for non-technical stakeholders and senior leadership
  • Collaborate effectively with distributed, remote teams to ensure seamless communication and on-time delivery


Technical Delivery

  • Design, implement, and optimize AI/ML models using diverse healthcare data types, including omics, claims, and EHR
  • Conduct multi-omic analyses such as RNA-seq differential expression, clustering, genomic association analysis, and biomarker discovery
  • Implement NLP and LLM solutions tailored to life sciences datasets
  • Contribute to the development and refinement of BullFrog's in-house platform capabilities

Requirements

What We're Looking For


Education

Advanced degree (MS or PhD) in a quantitative field - biology, computer science, engineering, or related


Experience

5+ years of post-graduate experience in life sciences analytics in pharma, biotech, or consulting

Demonstrated proficiency in Python; production-quality code in a research or commercial environment

Hands-on experience with major healthcare data types - omics data required; claims and EHR experience strongly preferred

Hands-on experience applying LLMs or NLP to real analytical workflows, ideally biomedical or clinical text extraction, summarization, evaluation, or retrieval

Proven track record of collaborating effectively with remote teams

Must be legally authorized to work in the United States


Desired Skills

Prior experience in multi-modal analysis with deep learning

Causal inference experience - a significant differentiator for this role

NLP/LLM expertise applied to life sciences and healthcare text

Strong foundation in data engineering and databases

Experience with graph-based approaches: feature engineering, ML, and visualization

Cloud platform experience, particularly AWS or Google Cloud


Who Will Thrive Here

Intellectually versatile - energized by moving across problem types, data modalities, and scientific domains

Client-ready - comfortable presenting to and partnering with senior scientific and business stakeholders

Independently driven - able to scope, execute, and deliver complex analyses without heavy oversight

Scientifically rigorous - you hold your work to a publication-quality standard even in a commercial environment

Collaborative by default - remote-first is second nature; you communicate proactively and close loops


What We Offer

Base salary range: $175,000 - $210,000 per year, based on level of education, years of relevant experience, skills, and location. This role is eligible for performance bonus and equity/stock options, subject to company and plan terms. Benefits include medical, dental, and vision from day one, short-term disability, 401(k) from first paycheck, 15 days PTO, 11 paid holidays annually, and maternity and paternity leave. 
BullFrog AI is an equal opportunity employer. We are committed to building a diverse team that reflects the communities and patients our work ultimately serves. 
Advancing medicine through artificial intelligence.

Apply